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Proceedings Papers

Visual Navigation of Wheeled Mobile Robots Using Deep Reinforcement Learning: Simulation to Real-Time Implementation

Ezebuugo Nwaonumah, Biswanath Samanta
Proc. ASME. DSCC2020, Volume 1: Adaptive/Intelligent Sys. Control; Driver Assistance/Autonomous Tech.; Control Design Methods; Nonlinear Control; Robotics; Assistive/Rehabilitation Devices; Biomedical/Neural Systems; Building Energy Systems; Connected Vehicle Systems; Control/Estimation of Energy Systems; Control Apps.; Smart Buildings/Microgrids; Education; Human-Robot Systems; Soft Mechatronics/Robotic Components/Systems; Energy/Power Systems; Energy Storage; Estimation/Identification; Vehicle Efficiency/Emissions, V001T05A010, October 5–7, 2020
Paper No: DSCC2020-3279
DOI: https://doi.org/10.1115/DSCC2020-3279
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Topics: Artificial neural networks, Mobile robots, Navigation, Reinforcement learning, Robots, Simulation
Proceedings Papers

Brain Computer Interface Using Motor Imagery and Facial Expressions to Control a Mobile Robot

James Kuffuor, Biswanath Samanta
Proc. ASME. DSCC2018, Volume 1: Advances in Control Design Methods; Advances in Nonlinear Control; Advances in Robotics; Assistive and Rehabilitation Robotics; Automotive Dynamics and Emerging Powertrain Technologies; Automotive Systems; Bio Engineering Applications; Bio-Mechatronics and Physical Human Robot Interaction; Biomedical and Neural Systems; Biomedical and Neural Systems Modeling, Diagnostics, and Healthcare, V001T13A006, September 30–October 3, 2018
Paper No: DSCC2018-9234
DOI: https://doi.org/10.1115/DSCC2018-9234
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Topics: Brain, Computers, Engines, Mobile robots, Motors, Signals, Electroencephalography, Support vector machines, Sensors, Trains
Proceedings Papers

A Non-Intrusive Wearable Bio-Sensor Based Assistive Robotic System for Human Mental and Physical Intervention

Kyle Lansing, Wei Yu, Biswanath Samanta
Proc. ASME. IMECE2017, Volume 4B: Dynamics, Vibration, and Control, V04BT05A025, November 3–9, 2017
Paper No: IMECE2017-71654
DOI: https://doi.org/10.1115/IMECE2017-71654
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Topics: Biosensors, Robotics, Stress, Accelerometers, Mobile robots, Sensors, Skin, Algorithms, Biomedicine, Computer programming
Proceedings Papers

Performance Evaluation of Empirical Mode Decomposition for EEG Artifact Removal

MD Erfanul Alam, Biswanath Samanta
Proc. ASME. IMECE2017, Volume 4B: Dynamics, Vibration, and Control, V04BT05A024, November 3–9, 2017
Paper No: IMECE2017-71647
DOI: https://doi.org/10.1115/IMECE2017-71647
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Topics: Electroencephalography, Performance evaluation, Signals, Brain, Engines, Motors, Computers, Electrodes, Noise (Sound), Signal processing
Proceedings Papers

Development of a Mechatronics Course Integrated With Lab

Biswanath Samanta
Proc. ASME. DSCC2017, Volume 3: Vibration in Mechanical Systems; Modeling and Validation; Dynamic Systems and Control Education; Vibrations and Control of Systems; Modeling and Estimation for Vehicle Safety and Integrity; Modeling and Control of IC Engines and Aftertreatment Systems; Unmanned Aerial Vehicles (UAVs) and Their Applications; Dynamics and Control of Renewable Energy Systems; Energy Harvesting; Control of Smart Buildings and Microgrids; Energy Systems, V003T31A006, October 11–13, 2017
Paper No: DSCC2017-5265
DOI: https://doi.org/10.1115/DSCC2017-5265
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Topics: Mechatronics education, Students, Computer programming, Computers, Data acquisition, Instrumentation, Mechanical engineering, Undergraduate students
Proceedings Papers

Development of a Network Infrastructure for Heterogeneous Robot and Control Systems Interactions

Christopher J. Reid, Biswanath Samanta, Christopher Kadlec
Proc. ASME. IMECE2015, Volume 4B: Dynamics, Vibration, and Control, V04BT04A028, November 13–19, 2015
Paper No: IMECE2015-52464
DOI: https://doi.org/10.1115/IMECE2015-52464
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Topics: Control systems, Robots, Computer software, Graphics processing units, Hardware, Machinery, Artificial neural networks, Computers
Proceedings Papers

Mechanical Design and Control Calibration for an Interactive Animatronic System

Brian Burns, Biswanath Samanta
Proc. ASME. IMECE2015, Volume 4B: Dynamics, Vibration, and Control, V04BT04A029, November 13–19, 2015
Paper No: IMECE2015-52477
DOI: https://doi.org/10.1115/IMECE2015-52477
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Topics: Algorithms, Calibration, Degrees of freedom, Design, Design engineering, Human-robot interaction, Manufacturing, Wings
Proceedings Papers

Gesture Recognition for Control in Human-Robot Interactions

Chris Reid, Biswanath Samanta
Proc. ASME. IMECE2014, Volume 4B: Dynamics, Vibration, and Control, V04BT04A045, November 14–20, 2014
Paper No: IMECE2014-38504
DOI: https://doi.org/10.1115/IMECE2014-38504
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Topics: Algorithms, Computer software, Cylinders, Human-robot interaction, Robotics, Robots, Skin, Space, Unmanned aerial vehicles
Proceedings Papers

Control of Autonomous Robots Using Principles of Neuromodulation in ROS Environment

Cameron Muhammad, Biswanath Samanta
Proc. ASME. IMECE2014, Volume 4B: Dynamics, Vibration, and Control, V04BT04A041, November 14–20, 2014
Paper No: IMECE2014-38158
DOI: https://doi.org/10.1115/IMECE2014-38158
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Topics: Robots, Artificial neural networks, Risk, Robotics, Signals, Brain, Computer software, Decision making, Hardware
Proceedings Papers

Human Identification for Human-Robot Interactions

Brian Burns, Biswanath Samanta
Proc. ASME. IMECE2014, Volume 4B: Dynamics, Vibration, and Control, V04BT04A044, November 14–20, 2014
Paper No: IMECE2014-38496
DOI: https://doi.org/10.1115/IMECE2014-38496
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Topics: Human-robot interaction, Algorithms, Calibration, Control systems, Knee, Mobile robots, Robotics, Robots, Servomotors, Students
Proceedings Papers

Nonlinear Control of a Magnetic Levitation System Using Single Multiplicative Neuron Models

Daniel L. Hall, Biswanath Samanta
Proc. ASME. IMECE2013, Volume 4B: Dynamics, Vibration and Control, V04BT04A029, November 15–21, 2013
Paper No: IMECE2013-64066
DOI: https://doi.org/10.1115/IMECE2013-64066
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Topics: Magnetic levitation, Artificial neural networks, Computation, Feedback, Particle swarm optimization, Control algorithms, Control equipment, Hardware, Multilayer perceptron, Optimization
Proceedings Papers

Neuromodulation Based Control of Autonomous Robots

Akimul Prince, Biswanath Samanta
Proc. ASME. IMECE2013, Volume 4B: Dynamics, Vibration and Control, V04BT04A028, November 15–21, 2013
Paper No: IMECE2013-64049
DOI: https://doi.org/10.1115/IMECE2013-64049
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Topics: Robots, Artificial neural networks, Brain, Neural network models, Risk, Robotics, Signals
Proceedings Papers

Control of Autonomous Robots Using the Principles of Neuromodulation

Akimul Prince, Biswanath Samanta
Proc. ASME. DSCC2013, Volume 2: Control, Monitoring, and Energy Harvesting of Vibratory Systems; Cooperative and Networked Control; Delay Systems; Dynamical Modeling and Diagnostics in Biomedical Systems; Estimation and Id of Energy Systems; Fault Detection; Flow and Thermal Systems; Haptics and Hand Motion; Human Assistive Systems and Wearable Robots; Instrumentation and Characterization in Bio-Systems; Intelligent Transportation Systems; Linear Systems and Robust Control; Marine Vehicles; Nonholonomic Systems, V002T28A006, October 21–23, 2013
Paper No: DSCC2013-4107
DOI: https://doi.org/10.1115/DSCC2013-4107
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Topics: Robots, Artificial neural networks, Human-robot interaction, Risk, Signals
Proceedings Papers

Nonlinear Control of Dynamic Systems Using Single Multiplicative Neuron Models

Jonathan G. Turner, Biswanath Samanta
Proc. ASME. IMECE2012, Volume 4: Dynamics, Control and Uncertainty, Parts A and B, 173-181, November 9–15, 2012
Paper No: IMECE2012-87440
DOI: https://doi.org/10.1115/IMECE2012-87440
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Topics: Dynamic systems, Artificial neural networks, Computation, Particle swarm optimization, Control algorithms, Control equipment, Control systems, Engines, Hardware, Motors
Proceedings Papers

Intelligent Control of Dynamic Systems With Situation Awareness

Biswanath Samanta
Proc. ASME. DSCC2012-MOVIC2012, Volume 2: Legged Locomotion; Mechatronic Systems; Mechatronics; Mechatronics for Aquatic Environments; MEMS Control; Model Predictive Control; Modeling and Model-Based Control of Advanced IC Engines; Modeling and Simulation; Multi-Agent and Cooperative Systems; Musculoskeletal Dynamic Systems; Nano Systems; Nonlinear Systems; Nonlinear Systems and Control; Optimal Control; Pattern Recognition and Intelligent Systems; Power and Renewable Energy Systems; Powertrain Systems, 727-735, October 17–19, 2012
Paper No: DSCC2012-MOVIC2012-8667
DOI: https://doi.org/10.1115/DSCC2012-MOVIC2012-8667
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Topics: Dynamic systems, Artificial neural networks, Adaptive dynamics, Brain, Computer programming, Design, Dynamics (Mechanics), Multilayer perceptron, Optimization, Particle swarm optimization
Proceedings Papers

Fault Parameter Identification for Model Based Prognostics of a Ball Bearing With an Outer Race Defect

Karthik Kappaganthu, C. Nataraj, Biswanath Samanta
Proc. ASME. IDETC-CIE2009, Volume 1: 22nd Biennial Conference on Mechanical Vibration and Noise, Parts A and B, 1259-1267, August 30–September 2, 2009
Paper No: DETC2009-87599
DOI: https://doi.org/10.1115/DETC2009-87599
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Topics: Artificial neural networks, Ball bearings, Bearings, Degrees of freedom, Discrete wavelet transforms, Entropy, Particle swarm optimization, Rotors, Trains